Because of this, **FastAPI** itself provides an alternative API documentation (using ReDoc), which you can access at <a href="http://127.0.0.1:8000/redoc" class="external-link" target="_blank">http://127.0.0.1:8000/redoc</a>:

<img src="/img/tutorial/path-params/image02.png">

The same way, there are many compatible tools. Including code generation tools for many languages.

## Pydantic

# External Links and Articles

**FastAPI** has a great community constantly growing.

There are many posts, articles, tools, and projects, related to **FastAPI**.

Here's an incomplete list of some of them.

/// tip

   *     be unique to the built instance of the ThreadFactory and will be assigned sequentially. For
   *     example, {@code "rpc-pool-%d"} will generate thread names like {@code "rpc-pool-0"}, {@code
   *     "rpc-pool-1"}, {@code "rpc-pool-2"}, etc.
   * @return this for the builder pattern
   */
  @CanIgnoreReturnValue
  public ThreadFactoryBuilder setNameFormat(String nameFormat) {

	queue       chan *queueItem // output from workers in order
	err         error           // global error state, only touched by Reader.Read
	bufferPool  sync.Pool       // pool of []byte objects for input
	kvDstPool   sync.Pool       // pool of []jstream.KV used for output
	close       chan struct{}   // used for shutting down the splitter before end of stream
	readerWg    sync.WaitGroup  // used to keep track of async reader.
}

<manifest xmlns:android="http://schemas.android.com/apk/res/android"
          xmlns:tools="http://schemas.android.com/tools" package="okhttp.android.testapp">

  <uses-permission android:name="android.permission.INTERNET" />

  <application
    android:allowBackup="true"
    android:label="@string/app_name"
    android:supportsRtl="true"
    android:name=".TestApplication"
  >
    <activity
      android:name=".MainActivity"

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

      uses: actions/setup-java@v4
      with:
        distribution: temurin
        java-version: 17

    # Initializes the CodeQL tools for scanning.
    - name: Initialize CodeQL
      uses: github/codeql-action/init@v3
      with:
        languages: ${{ matrix.language }}
        tools: latest
        # If you wish to specify custom queries, you can do so here or in a config file.

We can use **OAuth2** to build that with **FastAPI**.

But let's save you the time of reading the full long specification just to find those little pieces of information you need.

Let's use the tools provided by **FastAPI** to handle security.

## How it looks

Let's first just use the code and see how it works, and then we'll come back to understand what's happening.

## Create `main.py`

                                pool for the upstream service that can be ejected.
                              format: int32
                              type: integer
                            minHealthPercent:
                              description: Outlier detection will be enabled as long
                                as the associated load balancing pool has at least

type Plugin interface {
	Name() string
	Initialize(*DB) error
}

type ParamsFilter interface {
	ParamsFilter(ctx context.Context, sql string, params ...interface{}) (string, []interface{})
}

// ConnPool db conns pool interface
type ConnPool interface {
	PrepareContext(ctx context.Context, query string) (*sql.Stmt, error)
	ExecContext(ctx context.Context, query string, args ...interface{}) (sql.Result, error)